Non-invasive Re in Act proxy for openai-compatible, OpenAI, and Anthropic runtimes.
统一 LLM Provider npm 包：一套统一结构接入 Gemini / Claude / OpenAI Compatible / OpenAI Responses / DeepSeek
This package provides a foundation for implementing providers that expose an OpenAI-compatible API.
OpenTelemetry instrumentation for the `openai` OpenAI client library
OpenAI-compatible provider base for Metorial. Provides common functionality for OpenAI-compatible API providers.
The official TypeScript library for the OpenAI API
The official Node.js/TypeScript SDK for [Metorial](https://metorial.com) - Connect your AI agents to any MCP server with a single line of code. Deploy tools like Slack, GitHub, SAP, and hundreds more without managing infrastructure.
Tree-shakeable static models.dev catalog split by provider for TokenLens.
The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the OpenAI chat and completion APIs and embedding model support for the OpenAI embeddings API.
Unified LLM API with automatic model discovery and provider configuration
Genkit AI framework plugin for OpenAI APIs.
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
MCP Server for compatible OpenAI models that provides AI vision capabilities
OpenAI Instrumentaion
SDK for building AI nodes in n8n
Together Instrumentation
Shadcn-compatible OpenAI and ChatGPT UI components, theme tokens, and registry artifacts.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
A companion library to openai for Azure OpenAI.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
OpenPipe TypeScript SDK: Fine-Tuning, Inference, and Metrics for Production Apps
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. This package contains the logic for building realtime voice agents on the server or in the browser.
Lunary is an open-source platform for AI developers.
Streaming SSE client with timeouts/retries; works with NIM/TRT-LLM, vLLM, Ollama, and other OpenAI-style servers.
Drop-in mock server for testing Rails apps that use OpenAI-compatible APIs. Provides deterministic responses and per-request failure simulation.
A lightweight, Fiber-friendly Ruby client for OpenAI-compatible LLM APIs. (chat, embeddings, audio, rerank, health).
Plugin engine providing OpenAI-compatible /v1/chat/completions and /v1/models endpoints using Collavre AI agents with context injection.
Faure orchestre un agent codeur et un agent git via GitLab CI/CD et un backend OpenAI-compatible (mlx_lm, Ollama, OpenAI...).
Provides the OpenAI plus the Ollama and OpenRouter adapters so OpenAI-compatible providers can be added to DSPy.rb projects independently of the core gem.
Thin Ruby client for the reAPI gateway. reAPI speaks the OpenAI API; this gem talks to https://api.reapi.ai/v1 using only the Ruby standard library.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
Logs every call your Rails app makes to OpenAI, Anthropic, Gemini, RubyLLM, or an OpenAI-compatible API: tokens, cost, latency, tags. Calls go straight to the provider — no proxy. Includes price sync, budget guardrails, and a mountable dashboard.
Ruby LSP server that provides code completion using LLM FIM (Fill-In-the-Middle). Supports Ollama and other OpenAI API compatible backends.
llm.rb is Ruby's most capable AI runtime. It runs on Ruby's standard library by default. loads optional pieces only when needed, and offers a single runtime for providers, agents, tools, skills, MCP, A2A (Agent2Agent), RAG (vector stores & embeddings), streaming, files, and persisted state. As a bonus, llm.rb is also available for mruby. It supports OpenAI, OpenAI-compatible endpoints, Anthropic, Google Gemini, DeepSeek, xAI, Z.ai, AWS Bedrock, Ollama, and llama.cpp. It also includes built-in ActiveRecord and Sequel support, plus concurrent tool execution through threads, tasks (via async gem), fibers, ractors, and fork (via xchan.rb gem).
Ruby client for TokenMix — access GPT-5, Claude, Gemini, DeepSeek, Qwen, Mistral and 155+ other LLMs through a single OpenAI-compatible API key. Get a free key at https://tokenmix.ai
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